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latest predictive and generative AI for materials, we can offer you the best possible foundation. We seek two highly motivated and talented PhD students to join our group at DTU Compute, and we offer
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environment with expertise spanning physics, chemistry, materials science, and computer science, with strong ties to international partners and large research centres. We are looking for candidates who: Have a
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-on experimentation with advanced digital fabrication, numerical modelling, material testing, and process optimization. You will work on the fabrication and mechanical characterization of composite specimens with
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opportunity to work in various areas of theoretical and computational chemistry such as quantum and semi-classical theory of molecules, electronic excited-state dynamics and relaxation, materials and light
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will benefit from your analytical insight. Advanced NMR methods and computational data analysis will be compounded to accelerate the understanding of reaction pathways and improved use of desired rather
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The research explores how phase change materials that can store “cold” energy when they change between solid and liquid states can help make cooling systems more flexible and reliable. A large-scale pilot
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degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment
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Job Description If you want to push the much-needed advancement of techniques for efficient interaction of electromagnetic waves with lossy materials, such as human tissue, and support the
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient